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Publication search results
found 17 matches
- 2024
- Huijuan Wu, Yufeng Wang, Xinyu Liu, Yuwen Sun, Guofeng Yan, Yu Wu, Yunjiang Rao:
Smart Fiber-Optic Distributed Acoustic Sensing (sDAS) With Multitask Learning for Time-Efficient Ground Listening Applications. IEEE Internet Things J. 11(5): 8511-8525 (2024) - 2023
- Kai Zhang, Xuanyu Cao:
Online Power Control for Distributed Multitask Learning Over Noisy Fading Wireless Channels. IEEE Trans. Signal Process. 71: 3679-3694 (2023) - 2021
- Yongjiao Sun, Yaning Song, Baiyou Qiao, Boyang Li:
Distributed Typhoon Track Prediction Based on Complex Features and Multitask Learning. Complex. 2021: 5661292:1-5661292:12 (2021) - Qing Shi, Feng Chen, Xinyu Li, Shukai Duan:
Distributed adaptive clustering learning over time-varying multitask networks. Inf. Sci. 567: 278-297 (2021) - Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote:
Fully distributed actor-critic architecture for multitask deep reinforcement learning. Knowl. Eng. Rev. 36: e6 (2021) - Felix Sattler, Klaus-Robert Müller, Wojciech Samek:
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3710-3722 (2021) - Sergio Valcarcel Macua, Ian Davies, Aleksi Tukiainen, Enrique Munoz de Cote:
Fully Distributed Actor-Critic Architecture for Multitask Deep Reinforcement Learning. CoRR abs/2110.12306 (2021) - 2020
- Roula Nassif, Stefan Vlaski, Cédric Richard, Jie Chen, Ali H. Sayed:
Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning. IEEE Signal Process. Mag. 37(3): 14-25 (2020) - Fei Hua, Roula Nassif, Cédric Richard, Haiyan Wang, Ali H. Sayed:
Online Distributed Learning Over Graphs With Multitask Graph-Filter Models. IEEE Trans. Signal Inf. Process. over Networks 6: 63-77 (2020) - Danqi Jin, Jie Chen, Cédric Richard, Jingdong Chen:
Proximal Multitask Learning Over Distributed Networks with Jointly Sparse Structure. ICASSP 2020: 5900-5904 - 2018
- Chunguang Li, Songyan Huang, Ying Liu, Zhaoyang Zhang:
Distributed Jointly Sparse Multitask Learning Over Networks. IEEE Trans. Cybern. 48(1): 151-164 (2018) - Rasul Tutunov, Dongho Kim, Haitham Bou-Ammar:
Distributed Multitask Reinforcement Learning with Quadratic Convergence. NeurIPS 2018: 8921-8930 - 2017
- Sergio Valcarcel Macua, Aleksi Tukiainen, Daniel García-Ocaña Hernández, David Baldazo, Enrique Munoz de Cote, Santiago Zazo:
Diff-DAC: Distributed Actor-Critic for Multitask Deep Reinforcement Learning. CoRR abs/1710.10363 (2017) - 2016
- Roula Nassif, Cédric Richard, André Ferrari, Ali H. Sayed:
Distributed learning over multitask networks with linearly related tasks. ACSSC 2016: 1390-1394 - Michele Donini, David Martínez-Rego, Martin Goodson, John Shawe-Taylor, Massimiliano Pontil:
Distributed variance regularized Multitask Learning. IJCNN 2016: 3101-3109 - 2015
- Jialei Wang, Mladen Kolar, Nathan Srebro:
Distributed Multitask Learning. CoRR abs/1510.00633 (2015) - 2011
- Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao:
Client-Server Multitask Learning From Distributed Datasets. IEEE Trans. Neural Networks 22(2): 290-303 (2011)
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